Results 41 to 50 of about 3,498,285 (189)

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Adaptive Parameterization using Free-Form Deformation for Aerodynamic Shape Optimization [PDF]

, 2006
Parameterization techniques commonly used in aerodynamic shape optimization are essentially general and multi-purpose approaches. As a consequence, they cannot be well suited to a particular shape optimization problem.
Duvigneau, Régis
core   +5 more sources

Rapid design method of rocket aerodynamic shape based on conditional diffusion model

Kongqi donglixue xuebao
Aerodynamic design plays a vital role in rocket design. To expedite the design process of rocket aerodynamic shapes and minimize tedious iterative optimization, this study proposes a generative rapid inverse design method for rocket aerodynamic shapes ...
Chuan Li, Jiandong Chen, Lei He, Ming Cheng, Weiqi Qian, Jiazhe Lin   +5 more
doaj   +1 more source

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source

Efficient aerodynamic shape optimization by using unsupervised manifold learning to filter geometric features

Engineering Applications of Computational Fluid Mechanics
Many aerodynamic shape optimization methods often focus on utilizing the end-to-end relationship between design variables and aerodynamic performance to find the optimal design, while overlooking the exploration of geometric knowledge of the shape itself.
Long Ma, Xiao-Jing Wu, Wei-Wei Zhang
doaj   +1 more source

Data Mining-Based Design Space Exploration and Optimization for Tandem Airfoils

International Journal of Aerospace Engineering, 2023
The joined-wing configuration has great technical appeal for the development of next-generation SensorCraft. Research based on the simplified tandem airfoil system can improve understanding of the joined-wing configuration’s aerodynamic characteristics ...
Yayun Shi, Xiayu Lan, Yiwen Wang, Tihao Yang, Yan Liu   +4 more
doaj   +1 more source

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

FEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav, Bogdan I. Florea, Sebastian Geibel   +2 more
wiley   +1 more source

Shape optimization for quadratic functionals and states with random right-hand sides [PDF]

, 2015
International audienceIn this work, we investigate a particular class of shape optimization problems under uncertainties on the input parameters. More precisely, we are interested in the minimization of the expectation of a quadratic objective in a ...
Dambrine, Marc, Dapogny, Charles, Harbrecht, Helmut   +2 more
core   +1 more source

Adjoint Optimization Method for Head Shape of High- ‎Speed Maglev Train

Journal of Applied Fluid Mechanics, 2021
The head shape of a high-speed maglev train was optimized in this study, based on the adjoint method, ‎and the aerodynamic drag of four optimized train models were simulated and compared using different ‎control point generation methods.
H. C. Li, Z. M. Yang, L. Zhang, R. Li
doaj  

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source